Given the values of n=5, p= 0.15, and (1-p)=0.85, calculate the standard deviation of the data.

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To calculate the standard deviation of the data, you will need more information such as the probability distribution or the dataset itself. The values of n, p, and (1-p) that you have provided are not sufficient to directly calculate the standard deviation.

The standard deviation is a measure of how spread out the data is from the mean. It quantifies the amount of variability or dispersion in the dataset.

If you have the dataset, you can calculate the standard deviation using the following steps:

1. Calculate the mean of the dataset by summing up all the values and dividing by the total number of values. Let's denote this as μ (mu).

2. For each value in the dataset, calculate the squared difference from the mean (value - μ)^2.

3. Find the average of these squared differences by summing them up and dividing by the total number of values. Let's denote this as σ^2 (sigma squared).

4. Finally, calculate the standard deviation by taking the square root of the variance: σ (sigma) = √σ^2.

If you have a probability distribution, you will need to know the range of possible values and their corresponding probabilities. From there, you can calculate the mean and variance (step 3), and then take the square root to get the standard deviation (step 4).

Please provide more information or clarify the question to help me provide a more accurate answer.